Optimization For Machine Learning

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Repost)

Serkan Kiranyaz, Turker Ince, Moncef Gabbouj, "Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition"
English | 2013 | ISBN: 3642378455 | 270 pages | PDF | 18.01 MB
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Repost)

Serkan Kiranyaz, Turker Ince, Moncef Gabbouj, "Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition"
English | 2013 | ISBN: 3642378455 | 270 pages | PDF | 18 MB
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition [Repost]

Serkan Kiranyaz, Turker Ince, Moncef Gabbouj - Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
Published: 2013-07-30 | ISBN: 3642378455 | PDF | 270 pages | 14 MB
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (repost)

Serkan Kiranyaz, Turker Ince , "Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition"
2014 | ISBN-10: 3642378455 | 270 pages | PDF | 14,6 MB
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition [Repost]

Serkan Kiranyaz, ‎Turker Ince, ‎Moncef Gabbouj - Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
Published: 2013-07-30 | ISBN: 3642378455 | PDF | 270 pages | 18 MB
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Repost)

Serkan Kiranyaz, Turker Ince and Moncef Gabbouj, "Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition"
English | ISBN: 3642378455 | 2013 | 270 pages | PDF | 19 MB

For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a well-defined algorithmic approach.
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

Serkan Kiranyaz, Turker Ince and Moncef Gabbouj, "Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition"
English | ISBN: 3642378455 | 2013 | 270 pages | PDF | 19 MB

Optimization for Machine Learning (repost)  eBooks & eLearning

Posted by arundhati at Dec. 27, 2012
Optimization for Machine Learning (repost)

Suvrit Sra, Sebastian Nowozin, "Optimization for Machine Learning"
2011 | ISBN: 026201646X | PDF | 512 pages | 3 MB

Optimization for Machine Learning  eBooks & eLearning

Posted by tarantoga at Dec. 16, 2011
Optimization for Machine Learning

Suvrit Sra, Sebastian Nowozin, Stephen J. Wright, "Optimization for Machine Learning"
Publisher: The M.T P.e.s | ISBN: 026201646X | 2011 | PDF | 512 pages | 4 MB

Coursera - Neural Networks for Machine Learning  eBooks & eLearning

Posted by house23 at March 2, 2014
Coursera - Neural Networks for Machine Learning

Coursera - Neural Networks for Machine Learning
MP4 | AVC 29kbps | English | 960x540 | 15fps | 16h 26mins | AAC stereo 128kbps | 920 MB
Genre: Video Training

Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well. Neural networks use learning algorithms that are inspired by our understanding of how the brain learns, but they are evaluated by how well they work for practical applications such as speech recognition, object recognition, image retrieval and the ability to recommend products that a user will like. As computers become more powerful, Neural Networks are gradually taking over from simpler Machine Learning methods.